Identification of neutrophil extracellular trap-related biomarkers in ulcerative colitis based on bioinformatics and machine learning
By combining three machine learning algorithms and bioinformatics, this research identified three hub genes that could serve as novel targets for the diagnosis and therapy of UC, which may provide valuable insights into the mechanism of NETs in UC and potential related therapies.
Authors
- Suqi Zeng (ORCID: https://orcid.org/0000-0001-5033-9625)
- Yupei Liu (ORCID: https://orcid.org/0000-0002-9636-0099)
- Jiao Li (ORCID: https://orcid.org/0000-0002-8027-5877)
- Zhiyi Sun (ORCID: https://orcid.org/0000-0003-1063-0471)
- Chongyang Zheng (ORCID: https://orcid.org/0000-0002-1015-4324)
Institutions
- University of Michigan (US)
- Wuhan University (CN)
- Renmin Hospital of Wuhan University (CN)
Publication Details
- Journal
- Frontiers in Genetics
- Published
- 2025-06-20
- DOI
- https://doi.org/10.3389/fgene.2025.1589999
- Citations
- 2
- Primary Topic
- Atherosclerosis and Cardiovascular Diseases
- Type
- article
- Field-Weighted Citation Impact
- 1.59
Funders
- National Natural Science Foundation of China
- Natural Science Foundation of Hubei Province